Redefining Technical Education through Artificial Intelligence Integration: Pathways to Employability and Sustainability

Authors

  • J. O. Areo Department of Industrial Technical Education, Tai Solarin Federal University of Education, Ijagun, Nigeria
  • S. J. Oladipo Department of Industrial Technical Education, Tai Solarin Federal University of Education, Ijagun, Nigeria
  • A. O. O. Oyenuga Department of Industrial Technical Education, Tai Solarin Federal University of Education, Ijagun, Nigeria

Keywords:

Technical education, artificial intelligence, Redefining, employability and sustainability.

Abstract

Technical education has traditionally been central to producing skilled manpower for national development. However, outdated curricula and conventional teaching methods fail to meet modern labour market and industrial requirements. This failure results in skill gaps, graduate unemployment, and limited national competitiveness. Hence, this study focuses on redefining technical education through artificial intelligence integration as a pathway to employability and sustainability. AI offers innovative solutions through virtual simulations, AI-powered career guidance, enabling personalised, practice-oriented, and immersive learning experiences. These technologies enhance learners’ technical competencies, engagement, and readiness for real-world workplaces, bridging the gap between educational training and labour market demands. Despite its potential, AI integration faces challenges including limited implementation costs and infrastructure, dependence on human instruction and overreliance on technology. Nevertheless, strategic adoption of AI in technical education can transform teaching and learning processes, align curricula with industry needs, and equip graduates with the skills required for participation in technologically driven economies. The study highlights AI as a critical tool for modernising Nigeria’s technical education system, strengthening employability outcomes, and contributing to national and global sustainable development goals.

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Published

2025-11-30

How to Cite

Areo, J. O., Oladipo, S. J., & Oyenuga, A. O. O. (2025). Redefining Technical Education through Artificial Intelligence Integration: Pathways to Employability and Sustainability. The Vocational and Applied Science Journal, 19(2), 47–53. Retrieved from https://journals.tasued.edu.ng/index.php/vas/article/view/249